End of training

README.md

@@ -1,8 +1,10 @@
 ---
 license: mit
-base_model: openai-community/gpt2
+base_model: gpt2
 tags:
 - generated_from_trainer
+datasets:
+- multi_news
 model-index:
 - name: results
   results: []
@@ -13,7 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the multi_news dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0572
 
 ## Model description
 
@@ -42,11 +46,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 250  | 2.0936          |
+| 2.1486        | 2.0   | 500  | 2.0572          |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
+- Transformers 4.39.3
 - Pytorch 2.1.2
 - Datasets 2.18.0
-- Tokenizers 0.19.1
+- Tokenizers 0.15.2

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "openai-community/gpt2",
+  "_name_or_path": "gpt2",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -29,11 +29,11 @@
   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
-      "max_length": 128
+      "max_length": 50
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.41.2",
+  "transformers_version": "4.39.3",
   "use_cache": true,
   "vocab_size": 50257
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.41.2"
+  "transformers_version": "4.39.3"
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 497774208

training_args.bin

@@ -1,3 +1,3 @@
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+size 4856